code: def default_process_message(msg: Message) -> None:
      """
      Default method for processing messages in inference.
  
      :param msg: a message to be processed
      :returns: None
      """
      if msg["done"] or msg["is_observed"] or msg["value"] is not None:
          msg["done"] = True
          return
  
      msg["value"] = msg["fn"](*msg["args"], **msg["kwargs"])
  
      # after fn has been called, update msg to prevent it from being called again.
      msg["done"] = True
  
imports: import functools
  from typing import TYPE_CHECKING, Callable, Dict, Generic, List, Optional, Set, Tuple, TypeVar, Union, overload
  import torch
  from typing_extensions import Literal, ParamSpec, TypedDict
  from pyro.params.param_store import _MODULE_NAMESPACE_DIVIDER, ParamStoreDict
label_desc: Use image node_id 1 for calling a global function with example usage: default_process_message(msg) without return types